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利用GPS-R遥感技术反演植被生物量
引用本文:周晓敏,郑南山,祁云,陈顺.利用GPS-R遥感技术反演植被生物量[J].测绘通报,2018,0(1):129-132,137.
作者姓名:周晓敏  郑南山  祁云  陈顺
作者单位:1. 中国矿业大学环境与测绘学院, 江苏 徐州 221000; 2. 江苏省资源环境信息工程重点实验室, 江苏 徐州 221000
摘    要:为了验证利用GPS-R遥感技术反演植被生物量的可行性,分析了GPS反射信号反演植被生物量的原理与方法,通过试验利用干涉复合场数据(ICF)计算出信号反射率,利用已有文献拟合出的信号反射率与植被生物量之间的关系求出生物量,并与遥感技术结果进行了对比。试验结果表明:利用GPS-R遥感技术反演植被生物量是可行的,但是精度还需依靠时间反演模型;GNSS-R反演植被生物量对分析调查区域植被生长和碳排放情况具有重要意义。

关 键 词:GPS-R  植被生物量  反射信号  反射率  ICF  
收稿时间:2017-04-17

Inversing of Vegetation Biomass Based on GPS-R
ZHOU Xiaomin,ZHENG Nanshan,QI Yun,CHEN Shun.Inversing of Vegetation Biomass Based on GPS-R[J].Bulletin of Surveying and Mapping,2018,0(1):129-132,137.
Authors:ZHOU Xiaomin  ZHENG Nanshan  QI Yun  CHEN Shun
Institution:1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221000, China; 2. Key Laboratory for Resource Environment Information Engineering, China University of Mining and Technology, Xuzhou 221000, China
Abstract:To verify the feasibility of using GPS-R technology to inverse vegetation biomass, the principle and method inversing vegetation biomass using GPS reflected signal were introduced.The paper performed an experiment to calculate the signal reflectivity using ICF.Using the relationship between the reflectance signal and vegetation biomass, the vegetation biomass was figured out and compared with the result of NDVI remote sensing.The results indicate that it is feasible to retrieve vegetation biomass using GPS-R remote sensing,which has great significance in vegetation plant and carbon emission investigation.
Keywords:GPS-R  vegetation biomass  reflected signal  reflectivity  ICF  
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